library(scales)
library(gapminder)
library(tidyverse)
## ── Attaching packages ─────────────────────────────────────── tidyverse 1.3.0 ──
## ✓ ggplot2 3.3.3 ✓ purrr 0.3.4
## ✓ tibble 3.0.6 ✓ dplyr 1.0.4
## ✓ tidyr 1.1.2 ✓ stringr 1.4.0
## ✓ readr 1.4.0 ✓ forcats 0.5.1
## ── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
## x readr::col_factor() masks scales::col_factor()
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library(gganimate)
data("gapminder")
head(gapminder)
## # A tibble: 6 x 6
## country continent year lifeExp pop gdpPercap
## <fct> <fct> <int> <dbl> <int> <dbl>
## 1 Afghanistan Asia 1952 28.8 8425333 779.
## 2 Afghanistan Asia 1957 30.3 9240934 821.
## 3 Afghanistan Asia 1962 32.0 10267083 853.
## 4 Afghanistan Asia 1967 34.0 11537966 836.
## 5 Afghanistan Asia 1972 36.1 13079460 740.
## 6 Afghanistan Asia 1977 38.4 14880372 786.
g <- gapminder %>%
ggplot(aes(x = gdpPercap, y = lifeExp, color = continent, size = pop ))+
geom_point(alpha = 0.7, stroke = 0)+
scale_x_log10(label=comma)+
transition_time(year)+
labs(subtitle = "year: {frame_time}")
animate(g, height = 500, width = 800, fps = 60, duration = 10, end_pause = 60, res = 100)
#anim_save("gapminder graph.gif")
library(plotly)
##
## Attaching package: 'plotly'
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##
## last_plot
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##
## layout
quakes = read.csv('https://raw.githubusercontent.com/plotly/datasets/master/earthquakes-23k.csv')
fig <- quakes
fig <- fig %>%
plot_ly(
type = 'densitymapbox',
lat = ~Latitude,
lon = ~Longitude,
coloraxis = 'coloraxis',
radius = 10)
fig <- fig %>%
layout(
mapbox = list(
style="stamen-terrain",
center= list(lon=180)), coloraxis = list(colorscale = "Viridis"))
fig
library(plotly)
library(gapminder)
df <- gapminder
fig <- df %>%
plot_ly(
x = ~gdpPercap,
y = ~lifeExp,
size = ~pop,
color = ~continent,
frame = ~year,
text = ~country,
hoverinfo = "text",
type = 'scatter',
mode = 'markers'
)
fig <- fig %>% layout(
xaxis = list(
type = "log"
)
)
fig
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